JobBERT-v3 is a specialized language model developed by TechWolf for the recruitment and HR domain. It is based on a BERT architecture and fine-tuned on job-related corpora to produce high-quality embeddings and perform tasks such as skill extraction, job classification, and semantic matching between candidates and roles. It is distributed on Hugging Face for integration into talent intelligence platforms.
In the Foundation models & chat space, JobBERT takes a focused approach. It focuses on understanding and processing job postings, resumes, and recruitment text with higher accuracy than general-purpose language models. JobBERT is an open-source project aimed at HR tech developers and recruiters. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
TechWolf builds and maintains JobBERT, and the product first shipped in 2019. The project is developed in the open on GitHub with 18.9k stars and 96 commits in the last 90 days.
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